Closed loop heterogeneous network for automatic cell planning

ABSTRACT

Measurement data collected by a set of femto access points (FAPs) can be utilized, during a network listen procedure, to detect one or more areas with weak macro network coverage and/or high interference. Moreover, an automatic cell planning (ACP) component can be employed to analyze the measurement data and update a transmission parameter(s) associated with a macro access point. After the update is implemented, the ACP component can trigger another network listen procedure at the set of FAPs and receive new measurement data. The ACP component can evaluate the new measurement data to dynamically verify that the implementation of the update resulted in an improvement of macro network coverage and/or interference within the one or more areas.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of, and claims priority to each of,U.S. patent application Ser. No. 14/329,732 filed Jul. 11, 2014, andentitled “CLOSED LOOP HETEROGENEOUS NETWORK FOR AUTOMATIC CELLPLANNING,” which is a continuation of, and claims priority to, U.S.patent application Ser. No. 13/312,858 (now U.S. Pat. No. 8,811,994),filed Dec. 6, 2011, and entitled “CLOSED LOOP HETEROGENEOUS NETWORK FORAUTOMATIC CELL PLANNING,” the entireties of which applications arehereby incorporated herein by reference.

TECHNICAL FIELD

The subject disclosure relates to wireless communications, e.g., to aclosed loop heterogeneous network for automatic cell planning.

BACKGROUND

Wireless service providers are observing an exponential growth in mobilecommunications due to both an increase in consumer demand and commercialrequirements. To ensure customer satisfaction, wireless serviceproviders aim to deliver a high quality service at any location, tofacilitate reliable and efficient mobile communications. Moreover, toimprove wireless coverage and reduce dead zones, wireless serviceproviders can typically add and/or replace front-end equipment torealize effective bandwidth increases. In addition, femtocells(building-based wireless access points interfaced with a wired broadbandnetwork), can be deployed to improve indoor wireless coverage, and tooffload a mobility radio access network (RAN) operated by the wirelessservice provider. Improved indoor coverage includes stronger signal andimproved reception (e.g., voice, sound, or data), ease of session orcall initiation, and session or call retention as well.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates an example system that can improve macro networkcoverage for areas with poor macro network coverage or highinterference.

FIG. 2 illustrates an example system for real-time detection of hotspots.

FIG. 3 illustrates an example system that leverages measurementsobtained by a femto access point (FAP) to improve macro network coveragein a location with a high concentration of users.

FIGS. 4A-B illustrate example systems that can improve and verify orvalidate the improvements in macro network coverage based on femtocellmeasurements.

FIG. 5 illustrates an example system that facilitates automating one ormore features in accordance with the subject disclosure.

FIG. 6 illustrates an example method that can be utilized to reportfemto measurement and attachment data.

FIG. 7 illustrates an example method that can utilize femto measurementsas a trigger and performance feedback mechanism for automated macronetwork adjustments.

FIG. 8 illustrates an example wireless communication environment withassociated components for operation of a femtocell in accordance withthe subject specification.

FIG. 9 illustrates a schematic deployment of a macro cell and afemtocell for wireless coverage in accordance with aspects of thedisclosure.

FIG. 10 illustrates an example embodiment of a femto access point thatcan report femto measurements to facilitate and verify improvement inmacro coverage, according to the subject disclosure.

FIG. 11 illustrates a block diagram of a computer operable to executethe disclosed communication architecture.

DETAILED DESCRIPTION

The description and the annexed drawings set forth certain illustrativeaspects of the specification. These aspects are indicative, however, ofbut a few of the various ways in which the principles of thespecification may be employed. Other advantages and features of thespecification will become apparent from the detailed description of thespecification when considered in conjunction with the drawings.

One or more embodiments are now described with reference to thedrawings, wherein like reference numerals are used to refer to likeelements throughout. In the following description, for purposes ofexplanation, numerous specific details are set forth in order to providea thorough understanding of the various embodiments. It may be evident,however, that the various embodiments can be practiced without thesespecific details, e.g., without applying to any particular networkedenvironment or standard. In other instances, well-known structures anddevices are shown in block diagram form in order to facilitatedescribing the embodiments in additional detail.

In addition, the words “example” and “exemplary” are used herein to meanserving as an instance, or illustration. Any aspect or design describedherein as “example” or “exemplary” is not necessarily to be construed aspreferred or advantageous over other aspects or designs. Rather, use ofthe word example or exemplary is intended to present concepts in aconcrete fashion. As used in this application, the term “or” is intendedto mean an inclusive “or” rather than an exclusive “or”. That is, unlessspecified otherwise, or clear from context, “X employs A or B” isintended to mean any of the natural inclusive permutations. That is, ifX employs A; X employs B; or X employs both A and B, then “X employs Aor B” is satisfied under any of the foregoing instances. In addition,the articles “a” and “an” as used in this application and the appendedclaims should generally be construed to mean “one or more” unlessspecified otherwise or clear from context to be directed to a singularform.

Moreover, terms “access point,” “base station,” “Node B,” “site,” andthe like, are utilized interchangeably in the subject application, andrefer to a wireless network component or appliance that serves andreceives data, control, voice, video, sound, gaming, or substantiallyany data-stream or signaling-stream from a set of subscriber stations.Data and signaling streams can be packetized or frame-based flows.Furthermore, the terms “user,” “subscriber,” “customer,” “consumer,” andthe like are employed interchangeably throughout the subjectspecification, unless context warrants particular distinction(s) amongthe terms. It should be appreciated that such terms can refer to humanentities or automated components supported through artificialintelligence (e.g., a capacity to make inference based on complexmathematical formalisms), which can provide simulated vision, soundrecognition and so forth. In addition, the terms the terms “femtocell”,and “femto” are utilized interchangeably, while “macro cell” and “macro”are utilized interchangeably herein.

The systems and methods disclosed herein provide a means to improvemacro network coverage, by dynamic beam tuning, based on an analysis offemto measurement data. In contrast to conventional systems, the systemsand methods disclosed herein can detect hot spots issues, identify macrobeam changes to resolve the hot spot issues, and receive real-timefeedback indicative of a modification in macro network coverage inresponse to the implementation of the macro beam changes.

The systems and methods disclosed herein, in one aspect thereof, canlocate and better serve areas of poor macro network coverage and/or highinterference, for example, hot spots, based on real-time femtomeasurement data and dynamic macro network beam tuning/steering. Femtoaccess points (FAPs) can detect and/or measure signals transmitted byone or more macro access points, and can forward pertinent measurementdata to an automatic cell planning (ACP) tool. Based on an analysis ofthe measurement data received from one or more FAPs, the ACP tool canidentify a hot spot location, and adjust a parameter(s) associated withthe one or more macro access points, to improve macro coverage and/orinterference at the hot spot location. Further, the ACP tool can verifythat the adjustment to the parameter(s) accomplished the improvement inmacro coverage and/or interference at the hot spot location and/or didnot create new issues, based on receiving new measurement data from theFAPs.

Another aspect of the disclosed subject matter relates to a method thatcan be employed to facilitate automated macro antenna tuning based onresults of a network listen procedure implemented by femto access point.In particular, the method can include receiving the results, indicativeof a macro network coverage surrounding the femtocell, from the femtoaccess point, and aggregating, consolidating, and/or analyzing theresults to locate a hot spot and/or dead zone. Further, the method caninclude determining and updating one or more parameters (e.g., antennabearing and/or tilt) for steering and/or tuning antenna(s) at a macroaccess point. Furthermore, the method can include initiating anothernetwork listen procedure, receiving new results from the femto accesspoint, and verifying, in real-time, that the determining and updating ofthe one or more parameters improved macro network coverage and/orinterference at the hot spot/dead zone and/or did not create newcoverage related issues.

Aspects or features of the subject specification can be exploited insubstantially any wireless communication technology; e.g., Wi-Fi, GlobalSystem for Mobile Communications (GSM), Universal MobileTelecommunications System (UMTS), Worldwide Interoperability forMicrowave Access (WiMAX), Enhanced General Packet Radio Service(Enhanced GPRS), Third Generation Partnership Project (3GPP) Long TermEvolution (LTE), Fourth Generation (4G) LTE, Third GenerationPartnership Project 2 (3GPP2) Ultra Mobile Broadband (UMB), High SpeedPacket Access (HSPA), Zigbee or another IEEE 802.XX technology.Additionally, substantially all aspects of the subject specification canbe exploited in legacy telecommunication technologies.

Referring initially to FIG. 1, there illustrated is an example system100 that can improve macro network coverage and/or interference based ondata collected by femto access points (FAPs), according to an aspect ofthe subject specification. The system 100 utilizes measurement(s)received from one or more FAPs (102 ₁-102 _(N)) to identify a locationof a dead zone or a hot spot (e.g., area with poor macro networkcoverage or high interference). According to an embodiment, a number (N;wherein N can be an integer) of FAPs (102 ₁-102 _(N)) can be deployedwithin the wireless service provider's network. FAPs (102 ₁-102 _(N))are building-based wireless access points interfaced with a wiredbroadband network, that can be deployed to improve indoor wirelesscoverage, and to offload traffic from a mobility radio access network(RAN) operated by a wireless service provider. Improved indoor coveragecan include one or more of stronger signal, increased bandwidth, andimproved reception (e.g., video, sound, or data), ease of session orcall initiation, and session or call retention, as well. Offloadingtraffic from the RAN can reduce operational and transport costs for theservice provider since a lesser number of end users consumes macro RANover-the-air radio resources (e.g., radio traffic channels), which aretypically limited. With the rapid increase in utilization ofcommunications networks and/or devices, mobile data communications havebeen continually evolving due to increasing requirements of workforcemobility, and, services provided by femtocells can be extended beyondindoor coverage enhancement.

In one aspect, one or more of the FAPs (102 ₁-102 _(N)) can collectmacro cell measurements 114, based on a network listen and/or networksniffing procedure. As an example, the network listen and/or networksniffing procedure can be performed periodically, at a predefined time,dynamically and/or on-demand (e.g., requested by core network).Additionally or optionally, the FAPs (102 ₁-102 _(N)) can determine anumber of attachment attempts, made by user equipments (UEs) withintheir respective femtocell coverage areas. As an example, the UEs can bewhitelisted, blacklisted and/or not be associated with access controllists of the FAPs (102 ₁-102 _(N)). In one example, one or more of theFAPs (102 ₁-102 _(N)) can provide the measurements and number ofattachment attempts, to an automatic cell planning (ACP) component 110,via a femto network platform 106. In another example, one or more of theFAPs (102 ₁-102 _(N)) can notify the ACP component 110, only when themeasurements fall below a predefined threshold value, which can beindicative of poor macro network coverage or high interference, and/orwhen the number of attachment attempts exceeds another predefinedthreshold value.

According to an embodiment, the ACP component 110 can include ananalysis component 112, which can aggregate and analyze the measurementsand/or notifications received from the FAPs (102 ₁-102 _(N)). Moreover,the analysis component 112 can utilize the measurements and/ornotifications to identify areas having weak (e.g., below a predefinedthreshold value) macro network coverage or interference (e.g., multipleservers overlapping). In one example, the analysis component 112 candetermine a set of most significant victim (e.g., interfered) and/orrogue (e.g., interfering) macro sectors, for example, served by basestations (104 ₁-104 _(M); where M can be any integer), requiringattention, based on the data received from the femto network platform106. Further, the analysis component 112 can utilize the data toidentify the magnitude of change (e.g., signal strength increase orinterference reduction) required to meet a desired/target performancecriterion. In one aspect, the analysis component 112 can determine a setof best-fit changes made to one or more parameters (e.g., antenna tilt,antenna height, azimuth, beam width changes, etc.) associated with oneor more of the base stations (104 ₁-104 _(M)) that affect thedesired/target improvements in macro network coverage and/orinterference. Moreover, the ACP component 110 can initiate and/orimplement the set of best-fit changes via automated operations,administration and management (OAM).

In one example, once the OAM verifies changes are implemented, the ACPcomponent 110 can trigger new network listen measurements in one or moreof the FAPs (102 ₁-102 _(N)). Moreover, the FAPs (102 ₁-102 _(N)) canreport new measurement results back towards the ACP component 110, viathe femto network platform 106 and the verification component 116 canevaluate the new data to ensure that the target/estimated improvement inmacro network coverage and/or interference has been achieved and/or thatno new problems have been created due to the changes. Additionally oralternatively, the verification component 116 can confirm/validate thatinterference has been reduced as desired/estimated and/or that no newcoverage and/or interference problems have been created. According to anaspect, if the results of the verification meet corresponding targets,the process is complete. If not, the analysis component 112 can repeatthe analysis with the new measurement results and continue to modifyparameters in one or more the macro cell sites (104 ₁-104 _(M)) untilthe desired result is accomplished and verified.

In one example, base stations (104 ₁-104 _(M)) can be most any cellsites, for example, locations at which antennas (e.g.,transmitter/receivers, transceivers) and electronic communicationsequipment are placed. As an example, a cell site can includecommunications equipment to create a cell in a cellular network. Thecommunications equipment can include an access point, a Node B, anevolved Node B, or the like. Moreover, on receiving instructions fromthe ACP component 110, the base stations (104 ₁-104 _(M)) can re-director steer one or more antennas and/or change parameter values, such asbut not limited to, antenna height, antenna tilt, beam width, azimuth,etc. In addition, other transmission parameters, such as, but notlimited to, the transmission power of the one or more antennas of basestations (104 ₁-104 _(M)) can be modified to improve macro coverageand/or interference at the hot spots. Although the ACP component 110 isillustrated to be externally coupled to the femto network platform 106and the macro network platform 108, it can be appreciated that the ACPcomponent 110 can reside within the femto network platform 106 or themacro network platform 108, or be distributed between the femto networkplatform 106 and the macro network platform 108. In contrast toprediction-based simulations utilized by conventional systems, system100 utilizes actual usage data collected by FAPs (102 ₁-102 _(N)) andthus improves accuracy for hot spot detection. Further, the system 100can implement a feedback loop that provides a quick, accurate, andefficient approach to validate and/or verify that the hot spot issueshave been resolved, thereby eliminating or reducing manual datacollection (by field technicians).

Referring now to FIG. 2, there illustrated is an example system 200 forreal-time detection of hot spots in accordance with an aspect of thesubject disclosure. The system 200 can include a wireless communicationnetwork (e.g., cellular macro network) served by a base stations (104₁-104 _(M)). Moreover, base stations (104 ₁-104 _(M)) can provide macrocoverage that is generally intended for servicing wireless mobiledevices. To improve indoor wireless coverage, and/or to offload themobility radio access network (RAN), femtocells, such as, a femtocell,served by a FAP 102, can be deployed within system 200. It can beappreciated that services provided by the femtocell can be extendedbeyond indoor coverage enhancement; for example, the femtocell can beutilized in areas wherein macro coverage is not poor or weak. Thefemtocell can cover an area that can be determined, at least in part, bytransmission power allocated to FAP 102, path loss, shadowing, and soforth. The FAP 102 can facilitate communication between authorized userequipment (UE) within a femtocell coverage area and a service provider'score network. In particular, the communication (e.g., voice and/or datatraffic) between the FAP 102 and the core network is routed through abackhaul broadband wired network, for example, an optical fiberbackbone, twisted-pair line, T1/E1 phone line, Digital Subscriber Cable(DSL), coaxial cable, and/or the like. It can be appreciated that theFAP 102 can be substantially similar to FAPs (102 ₁-102 _(N)). Further,the ACP component 110 and base stations (104 ₁-104 _(M)) can includefunctionality, as more fully described herein, for example, with regardto system 100.

In one embodiment, the FAP 102 can include a measurement component 212,which can monitor, sense, scan, and/or measure a radio environmentassociated with one or more macro cells surrounding the FAP 102. Forexample, the measurement component 212 can perform a network listenprocedure and obtain measurements 214 ₁-214 _(M) for detecting signalstrength(s) and/or downlink rate of signal(s) of the surrounding basestation(s) 104 ₁-104 _(M). As an example, the measurements 214 ₁-214_(M), collected by FAP 102 can include each detected macro cellmeasurement and the x/y/z coordinates of the measurement. Moreover, themeasurement component 104 can analyze the signal strength(s), forexample, by comparing the signal strength(s) to a predefined thresholdvalue. If the signal strength(s) is less than the predefined thresholdvalue, poor macro coverage can be detected at the location of thefemtocell. Alternatively, if the signal strength(s) is greater than thepredefined threshold value, sufficient and/or reliable macro coveragecan be detected at the location of the femtocell. As an example, thepredefined threshold value can specify minimum requirements, such as,but not limited to, signal strength, uplink and/or downlink rate, etc.,below which communication would be unsatisfactory (e.g., poor callquality, slow downloads, and/or dropped calls) to a customer. Inaddition, the measurement component 212 can also compute average signalstrength based on data from multiple network listen procedures and/orgenerate most any statistical data to identify poor/weak macro coverage.According to an embodiment, the network listen procedure can beperformed by the measurement component 212, periodically, at a presettime, on power-up, during idle-mode of the FAP 102, and/or can betriggered on-demand by the ACP component 110 and/or by a nearby FAP (notshown). Further, in an example scenario, wherein interference isdetected, the FAP 102 can trigger network listen measurements in nearbyFAPs. The respective measurement components of the in nearby FAPs cancollect network listen measurements and provide the measurement data tothe ACP 110 for further analysis.

In one embodiment, traffic at the femtocell can be determined by anattachment detection component 202. Moreover, the attachment detectioncomponent 202 can identify attachment attempts made by UEs (204 ₁-204_(Z); where Z can be any integer value) within the femtocell to connectto the FAP 102. The volume of attachment attempts (e.g., for a specifictime period, such as but not limited to, within a few minutes, an hour,a day, a week, etc.) can be used to locate and determine periods of hightraffic at a location at which the FAP 102 is deployed. In other words,attachment attempts can occur more often in dense user areas and lessoften in isolated areas, and thus the frequency of attachment attemptscan be an indicator of nearby (e.g., within the relatively small radiusof the FAP 102) user density. Moreover, the volume of attach attemptscan be used to localize, predict and weight the potential wirelesscommunication traffic within and/or between venues. This weighting shallensure that automatic frequency and/or cell tuning algorithms benefitthe highest density of users.

As an example, UEs (204 ₁-204 _(Z)) can include most any electroniccommunication devices such as, but not limited to, most any consumerelectronic devices, for example, a digital media player, a digital photoframe, a digital camera, a cellular phone, a personal computer, a tabletcomputer, a personal digital assistant (PDA), a smart phone, a laptop, agaming system, etc. Further, UEs (204 ₁-204 _(Z)) can also includeLTE-based devices, such as, but not limited to, most any home orcommercial appliance that includes an LTE radio. It can be appreciatedthat the UEs (204 ₁-204 _(Z)) can be mobile, have limited mobilityand/or be stationary.

According to an aspect, the attachment detection component 202 cancompute and/or record a total number of attachment attempts, a number ofattachment attempts made by whitelisted UEs, a number of attachmentattempts made by blacklisted UEs, and/or a number of attachment attemptsmade by visitor UEs (e.g., UEs that are not included on an accesscontrol list 210 associated with the FAP 102). As an example, accesscontrol list 210 can be stored within data store 206 and/orretrieved/accessed from a network database (not shown). The accesscontrol list 210 can provide functionality to authorize, permanently ortemporarily, or deny or revoke access to specific subscribers, or UEs,and can include white list(s) or black list(s). Moreover, the attachmentdetection component 202 can utilize data from the access control list210 to calculate the number of attachment attempts made by whitelistedUEs, the number of attachment attempts made by blacklisted UEs, and/orthe number of attachment attempts made by visitor UEs. Additionally oralternatively, the attachment detection component 202 can also identifya number of attachment attempts made by unique UEs based on anidentifier, such as, but not limited to an International MobileSubscriber Identity (IMSI), an International Mobile Equipment Identity(IMEI), a Mobile Station International Subscriber Directory Number(MSISDN), Subscriber Identity Module (SIM), or a serial number of a UE.

In one aspect, the attachment detection component 202 can provide thedata relating to the number of attachment attempts (e.g., total, bywhitelisted/blacklisted or visitor UEs) to the ACP component 110 (e.g.,over the backhaul broadband wired network). Moreover, the ACP component110 can reside within or be distributed between a femto networkplatform, macro network platform and/or core network node. The ACPcomponent 110 can assign a higher weighting contribution to a FAP withmore attachment attempts, than a FAP with less attachment attempts. Thisweighting can ensure that automatic antenna tuning algorithms benefitthe highest concentrations of users.

The ACP component 110 receives measurement data and attachment attemptdata from FAP 102 and can determine location of a hot spot based on ananalysis of the attachment attempt data (e.g., by employing analysiscomponent 112). Although only one FAP, FAP 102, is illustrated, it canbe appreciated that the ACP component 110 can collect, aggregate and/orweigh attachment attempt data measured by multiple FAPs deployed withinthe service provider's network. Moreover, the ACP component 110 canaccess, determine, or obtain, a geographical location of the FAP 102 tolocate the area of the hot spot/dead zone. As an example, the locationof the FAP 102 is known at the time of activation, for example, based onglobal positioning system (GPS) coordinates or user input. Further, theACP component 110 can identify base station(s) nearest to the locationof the FAP 102, including determine interfering and/or interfered basestations, such as one or more of base stations (104 ₁-104 _(M)), andinstruct the base stations (104 ₁-104 _(M)) to modify one or moretransmission parameters. In one example, the ACP component 110 caninstruct one or more of the base stations (104 ₁-104 _(M)) to modify thephase and/or relative amplitude of a signal transmitted at eachtransmitter of its antenna(s). In another example, the ACP component 110can instruct one or more of the base stations (104 ₁-104 _(M)) to modifyan antenna bearing and/or tilt suited for the highest user concentrationlocations reported by FAP 102. Accordingly, the one or more of the basestations (104 ₁-104 _(M)) can implement the requested modifications.

Once the modifications have been implemented, the ACP component 110 cantrigger the network listen procedure by the measurement component 212,which in turn can collect new measurements from the base stations (104₁-104 _(M)) and deliver the new measurement data to the ACP component110. The ACP component 110 (via verification component 116) candetermine whether the modifications achieved the target/estimatedimprovements in macro network coverage at the FAP 102 and/or whether themodifications created new issues (e.g. interference). If furtherimprovement in macro network coverage is required and/or newly createdissues are to be resolved, ACP component 110 (via analysis component112) can re-evaluate the new measurement data and readjust the one ormore parameters of the one or more of the base stations (104 ₁-104_(M)). Moreover, the measurement and modification can be repeated untilmacro network coverage is improved to a predefined/target value or iswithin a predefined range, and/or newly created issues are resolved.Accordingly, system 200 forms a closed loop heterogeneous network todynamically improve macro network coverage.

In one embodiment, the attachment attempt data and/or measurement datacollected by the attachment detection component 202 and the measurementcomponent 212 respectively, can be logged (208) within data store 206.Although data store 206 is depicted to reside within the FAP 102, it canbe appreciated that the data store 206 can be locally or remotelycoupled to FAP 102. It can be appreciated that the data store 206 caninclude volatile memory(s) or nonvolatile memory(s), or can include bothvolatile and nonvolatile memory(s). By way of illustration, and notlimitation, nonvolatile memory can include read only memory (ROM),programmable ROM (PROM), electrically programmable ROM (EPROM),electrically erasable PROM (EEPROM), or flash memory. Volatile memorycan include random access memory (RAM), which acts as external cachememory. By way of illustration and not limitation, RAM is available inmany forms such as static RAM (SRAM), dynamic RAM (DRAM), synchronousDRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM(ESDRAM), Synchlink DRAM (SLDRAM), and direct Rambus RAM (DRRAM). Thememory (e.g., data stores, databases) of the subject systems and methodsis intended to comprise, without being limited to, these and any othersuitable types of memory.

Referring now to FIG. 3, there illustrated is an example system 300 thatleverages measurements obtained by a FAP 102 to improve macro networkcoverage in a location with a high concentration of users. Moreover,system 300 can provide a relatively simple, fast, and inexpensiveapproach to dynamically adjust transmission parameters to provide bettermacro network coverage in hot spot/dead zone location, based onreal-time femto measurements and actual network usage data, according toan example embodiment. For example, system 300 can leverage thelocation-specific-awareness attributes of FAPs to improve theadaptability and capacity of macro access points, which may compriserelatively simple and/or inexpensive beam-steering antennas. Moreover,the system 300 can utilize femto attachment attempt data to quantify andlocate concentrations of idle-mode UEs, before the UEs initiatecommunication (e.g., prior to the UE making a call). The ACP component110, the analysis component 112, and the verification component 116 caninclude functionality, as more fully described herein, for example, withregard to systems 100 and 200.

According to an embodiment, the analysis component 112 can receiveinitial measurement data measured/collected by a FAP(s) deployed invarious locations, such as, but not limited to, homes, offices,warehouse, industrial plant, factories, stadiums, theatres, concertarenas, shopping malls, etc. As an example, FAP(s), connected to thevenue DSL facilities, can be relatively low capacity and cost. Moreover,the FAP(s) generally provide access to an authorized list of users(e.g., venue employees). However, whilst idle, nearby visitor UEs canstill attempt to attach to the FAP(s). Attachment attempts can occurmore often in dense user areas, and less often in isolated areas, thusproviding the analysis component 112 with an indicator of user densityand/or migration, for example, within the relatively small radius of therespective FAP(s).

According to an embodiment, measurement received from the FAP(s)comprises each detected macro cell measurement and/or the x/y/zcoordinates of the measurement. In one example, the analysis component112 can obtain or aggregate measurement (and/or attachment attempt) datafrom a threshold of minimum FAP(s), distributed over a specified area,to ensure a sufficient femtocell penetration within a defined hot spot.This threshold can ensure that sufficient data is processed to validatethe macro cell modification(s). In one aspect, the analysis component112 can identify the hot spot (e.g., polygon) of multiple interferers bygrouping the femtocells with multiple detected macro cells within adefined threshold. Based on identifying multiple femtocells in aspecific area, with multiple macro servers within X dB (wherein X is anynumerical value), the hot spot can be determined. As an example, the hotspot can be imported or identified by the analysis component 112 as aproblem area and/or a Monte Carlo analysis can be run by the analysiscomponent 112 to determine the modification(s) that can be implementedat the macro sites, which surround the area of the hot spot, to fix theissue and/or improve the network coverage. The modifications can includechanges to transmission parameters, such as, but not limited to,radiation center, antenna tilts, antenna change out modifying the H or Vplane, antenna height, azimuth, beam width, transmission power, etc.

Further, the analysis component 112 can also utilize the attachmentattempt data to localize, predict and/or weigh the potential wirelessdata traffic within and between venues of the FAP(s). For example,measurements from FAP(s) with a greater number of attachment attemptscan have more result weighting contribution than measurements taken fromFAP(s) with less attachment attempts. Additionally or optionally, theanalysis component 112 can also assign weights to FAP(s) based on thetype of UEs attempting to access the FAP(s). For example, an attachmentattempt made by a visitor UE (e.g., unauthorized to access the FAP) canbe employed to provide a higher weighting contribution than anattachment attempt made by a whitelisted UE (e.g., unauthorized toaccess the FAP); since the white listed UE can utilize femto resourcesfor communication. Further, in one example, if the number of whitelistedUEs trying to attach to a FAP is greater than the capacity of the FAP,the attachment attempt made by the whitelisted UE can provide aweighting contribution that equals the weighting contribution providedby a visitor UE. Furthermore, number of attachment attempts made byunique UEs at different FAPs can also be compared by the analysiscomponent 112 to accurately identify areas of high userdensity/concentration. It can be appreciated that the subject system isnot limited to the above examples for weighting contribution and mostany policy (e.g., specified by the service provider/operator) forassigning weights to FAPs based on attachment attempt data can beutilized. In one aspect, based on the weighting, the analysis component112 can identify modification(s) for macro sites serving areas includingFAP(s) having a high weighting. Additionally or alternatively, theweighting can be utilized to prioritize locations, at which macrocoverage and/or interference improvements can be implemented. Moreover,the weighting can ensure that automatic antenna tuning algorithmsbenefit the highest concentrations of users.

Further, the ACP component 110 can include a communication component 302that can transmit/deliver control data to one or more macro accesspoints identified/selected by the analysis component 112. The controldata can include instructions for implementing the modification(s), forexample, to the transmission parameters. In one example, on receivingconfirmation that the modification(s) have been implemented, the ACPcomponent 110, can trigger a network listen procedure in the FAP(s) andreceive feedback data based on the results of the network listenprocedure. In another example, the network listen procedure can beautomatically and/or periodically initiated by the FAP(s) and thefeedback data can be delivered to the ACP component 110. Theverification component 116 can validate and/or verify the feedback datato ascertain that the macro network coverage in the hot spot/dead zoneareas has improved (e.g. to the target level(s)). In addition, theverification component 116 can determine whether any new problems (e.g.,new hot spots/dead zones or interferences issues) have been created, asa result of the modification(s). In one example, if the verificationcomponent 116 confirms that interference has been reduced to the targetlevel(s) and no new coverage problems have been introduced, theautomatic cell tuning process can be terminated (e.g., until newmeasurement and/or attachment attempt data is received). Otherwise, theverification component 116 can provide the feedback data to the analysiscomponent 112, which in turn can analyze the feedback data to generate anew set of modification(s). Accordingly, automatic cell tuning processcan be repeated until target interference levels are reached and macronetwork coverage issues are resolved.

In one aspect, the system 300 can utilize the femtocell measurement datato validate the macro cell modifications immediately (or almostimmediately) after the modification has been implemented. Moreover, ahigh concentration of femtocells distributed over a hot spot can providemany points of geographically based data for validation. Accordingly,system 300 can provide a flexible, fast, and cost effective system forreal-time and/or event driven, adjustment and/or improvement of macronetwork coverage, according to an example embodiment.

FIG. 4A illustrates an example system 400 that can detect macro signalinterference based on femtocell measurements, according to an aspect ofthe subject disclosure. System 400 includes one or more femtocellsdeployed within a macro cell(s), served by a base station(s). Althoughonly three femtocells, served by their respective FAPs 404 ₁-404 ₃, andare illustrated it can be appreciated that the subject disclosure is notthat limited and most any number of femtocells can be deployed withinthe macro network. In addition, although only three macro access points,namely macro base station 408 ₁, macro base station 408 ₂, andinterfering macro base station 410, are illustrated, most any number ofbase stations can be deployed within the system 400. Moreover, the FAPs404 ₁-404 ₃ can be substantially similar to FAP 102 and can includefunctionality, as more fully described herein, for example, with regardto systems 100-200. Further, the base stations (408 ₁, 408 ₂, 410) canbe substantially similar to base stations 104 ₁-104 _(M) and can includefunctionality, as more fully described herein, for example, with regardto systems 100-200. Furthermore, the ACP component 110 can includefunctionality, as more fully described herein, for example, with regardto systems 100-300.

In one aspect, FAPs 404 ₁-404 ₃ can monitor their surrounding radioconditions (e.g., by employing respective measurement components 212),for example, by performing a network listen procedure. As an example,during the network listen procedure, the FAPs 404 ₁-404 ₃ can scan theirradio environment for detecting neighboring base stations (408 ₁, 408 ₂,410). Various parameters associated with the base stations (408 ₁, 408₂, 410) can be detected during the network listen procedure, such as,but not limited to, frequency bands, scrambling codes, common channelpilot power, UMTS Terrestrial Radio Access (UTRA) receive signalstrength indicator, etc. In one example, these parameters can facilitatedetection of hot spot locations. In addition, FAPs 404 ₁-404 ₂ can alsodetect interference between macro access points. In this examplescenario, during the network listen procedures, FAPs 404 ₂-404 ₃ candetect base station 410 that interferes with (e.g., radio frequencyinterference 406 ₃-406 ₄) base station 408 ₁ and/or base station 408 ₂.Further, FAPs 404 ₂-404 ₃ can detect a strong or sufficient macro signal406 ₁-406 ₂ from a nearby base station 408 ₁; while FAPs 404 ₁-404 ₂ candetect comparatively weaker macro signals, 406 ₅-406 ₇, due to presenceof obstacles 412 ₁-412 ₂, such as but not limited to buildings, hills,monuments, other environmental conditions, etc.

In addition, FAPs 404 ₁-404 ₃ can collect, record, and/or compute (e.g.,by employing the attachment detection component 202), a number ofattachment attempts made by UEs (402 ₁-404 ₇) within a specific timeperiod. Although only seven UEs (402 ₁-404 ₇) are illustrated, it can beappreciated that the subject disclosure is not that limited and agreater or lesser number of UEs can be present within the respectivefemtocell coverage areas. As an example, UEs can be whitelisted (402 ₅,402 ₆) or can be visitors (402 ₁-402 ₄, 404 ₇). It can be appreciatedthat the UEs (402 ₁-404 ₇) disclosed herein can include most anyelectronic communication device, such as, but not limited to, a cellphone, a tablet, a digital media player, a gaming console, a digitalcamera, a video recorder, a PDA, a personal computer, laptop, etc.During an idle mode (e.g., before initiating a voice call), UEs (402₁-404 ₇) can attempt to attach to nearby FAPs 404 ₁-404 ₃. The FAPs 404₁-404 ₃ can report the number of attachment attempts made during aspecific time period, to the ACP component 110, for example, via a femtonetwork platform (not shown). In this example scenario, FAP 404 ₂ candetect and report a high traffic area with a greater number ofattachment attempts from UEs 402 ₂-404 ₅; while FAPs 404 ₁ and 404 ₃ candetect a lower number of attachment attempts by UEs 402 ₁ and 402 ₆-402₇ respectively.

In one aspect, the FAPs 404 ₁-404 ₃ can transfer data (e.g., measurementand/or attachment attempt data) to the ACP component 110 in real-time orat a specific time, for example, when the femtocell is idle,periodically, on demand (e.g., polling), in response to an event ortrigger, etc. According to an embodiment, the ACP component 110 cancollect, aggregate and/or consolidate reports (e.g., includingmeasurement and/or attachment attempt data) received from FAPs 404 ₁-404₃. Moreover, when the interference, number of FAP reports, and/oraffected users (e.g., identified based on the attachment attempt data)exceeds respective thresholds, an ACP process is triggered. During theACP process, the ACP component 110 can utilize the measurement data toidentify the most significant victim (interfered) and/or rogue(interfering) macro sites requiring attention (e.g., by employing theanalysis component 112). Further, the ACP component 110 can also utilizethe measurement data to identify the magnitude of change (e.g., signalstrength increase or interference reduction) required to meet a targetperformance criterion (e.g., by employing the analysis component 112).Moreover, the ACP component 110 can determine (e.g., by employing theanalysis component 112) the best-fit and/or optimal changes (e.g.,modifications to antenna tilt, antenna height, azimuth, beam width,etc.) required to affect the desired improvements for the majority ofpredicted subscribers (e.g., at FAP 404 ₂) based in part on theattachment attempt data. Accordingly, the ACP component 110 can utilizefemtocell measurements to determine issues relating to interfered and/orinterfering macro sites, which when resolved will benefit the highestconcentration of users.

Referring now to FIG. 4B, there illustrated is an example system 450that verifies improvements in macro network coverage based on feedbackprovided by femtocell measurements. Continuing with the example scenariodisclosed above, after detecting the interference issue, the ACPcomponent 110 can deliver an update to the macro base station 410 (e.g.,by employing the communication component 302). Moreover, on receivingthe update from the ACP component 110, the macro base station 410 canimplement the changes, as instructed. In one aspect, once the changesare implemented by the base station 410, the ACP component 110 caninstruct the FAPs 404 ₁-404 ₃ to initiate a new network listenprocedure. In this example scenario, FAPs 404 ₂-404 ₃ can determine andreport that the interference signals (406 ₃, 406 ₄) are no longerdetected. Further, FAPs 402 ₃ can detect a strong or sufficient macrosignal 406 ₉ from base station 408 ₂; while FAPs 404 ₁ can detect acomparatively weaker macro signal, 406 ₈ from base station 410. The ACPcomponent 110 can access the new data received from the FAPs 404 ₁-404₃, to verify (e.g., via the verification component 116) that the changesimplemented by the base station 410 achieve the target improvements inmacro network coverage at the FAPs 404 ₁-404 ₃ and/or do not create newinterference and/or hot spot issues. If macro network coverage is notimproved to the target/estimated amount, and/or new issues are created,the ACP component 110 can compute new changes (e.g., via the analysiscomponent 112) and deliver the new changes to the base station 410(e.g., via the communication component 302).

Referring now to FIG. 5, there illustrated is an example system 500 thatemploys an artificial intelligence (AI) component 502, which facilitatesautomating one or more features in accordance with the subjectembodiments. It can be appreciated that the ACP component 110, theanalysis component 112, the verification component 116, and thecommunication component 302 can include respective functionality, asmore fully described herein, for example, with regard to systems100-450.

An example embodiment, system 500 (e.g., in connection withautomatically identifying hot spot/dead zone locations and/or optimaltransmission parameters) can employ various AI-based schemes forcarrying out various aspects thereof. For example, a process fordetermining a location of a hot spot or a dead zone, determininginterfering or interfered macro sectors, optimal parameters values forcorrecting and/or resolving weak macro coverage and/or issues, etc., canbe facilitated via an automatic classifier system and process. Moreover,the classifier can be employed to determine a femtocell location thatserves a large concentration of user, one or more macro base stationsnear the femtocell location, adjustments to one or more transmissionparameters associated with the macro base stations, etc. A classifiercan be a function that maps an input attribute vector, x=(x1, x2, x3,x4, xn), to a confidence that the input belongs to a class, that is,f(x)=confidence(class). Such classification can employ a probabilisticand/or statistical-based analysis (e.g., factoring into the analysisutilities and costs) to prognose or infer an action that a user desiresto be automatically performed. In the case of communication systems, forexample, attributes can be information received from FAPs, and theclasses can be categories or areas of interest (e.g., levels ofpriorities). A support vector machine (SVM) is an example of aclassifier that can be employed. The SVM operates by finding ahypersurface in the space of possible inputs, which the hypersurfaceattempts to split the triggering criteria from the non-triggeringevents. Intuitively, this makes the classification correct for testingdata that is near, but not identical to training data. Other directedand undirected model classification approaches include, e.g., naïveBayes, Bayesian networks, decision trees, neural networks, fuzzy logicmodels, and probabilistic classification models providing differentpatterns of independence can be employed. Classification as used hereincan also be inclusive of statistical regression that is utilized todevelop models of priority.

As will be readily appreciated from the subject specification, anexample embodiment can employ classifiers that are explicitly trained(e.g., via a generic training data) as well as implicitly trained (e.g.,via observing UE behavior, FAP reports, operator preferences, historicalinformation, receiving extrinsic information). For example, SVMs can beconfigured via a learning or training phase within a classifierconstructor and feature selection module. Thus, the classifier(s) can beused to automatically learn and perform a number of functions, includingbut not limited to determining according to a predetermined criteria alocation of weak macro coverage (e.g., in real-time), interferenceproblems, one or more macro access points that can best serve thelocation, adjustments to transmission and/or operating parameters (e.g.,antenna bearing, tilt, phase, etc.) for tuning a macro antenna beam,estimated macro network coverage change based on implementation of theparameter adjustments, etc. The criteria can include, but is not limitedto, historical patterns, UE behavior, user preferences, service providerpreferences and/or policies, FAP parameters/reports, location of thefemtocell, location of the macro sites, etc.

FIGS. 6-7 illustrate methods and/or flow diagrams in accordance with thedisclosed subject matter. For simplicity of explanation, the methods aredepicted and described as a series of acts. It is to be understood andappreciated that the subject specification is not limited by the actsillustrated and/or by the order of acts, for example acts can occur invarious orders and/or concurrently, and with other acts not presentedand described herein. Furthermore, not all illustrated acts may berequired to implement the methods in accordance with the disclosedsubject matter. In addition, those skilled in the art will understandand appreciate that the methods could alternatively be represented as aseries of interrelated states via a state diagram or events.Additionally, it should be further appreciated that the methodsdisclosed hereinafter and throughout this specification are capable ofbeing stored on an article of manufacture to facilitate transporting andtransferring such methods to computers. The term article of manufacture,as used herein, is intended to encompass a computer program accessiblefrom any computer-readable device or computer-readablestorage/communications media.

Referring now to FIG. 6, illustrated is an example method 600 that canbe utilized to report femto attachment and measurement data, accordingto an aspect of the subject specification. A large number of FAPs arebeing deployed in the cellular network to improve indoor coverage andoffload a mobility RAN. The location of each FAP is known at the time ofactivation and/or installation. This location data can be leveraged toidentify a location of a weak macro network coverage and/or high userdensity. This can enable dynamic and efficient macro beam tuning andimprove macro network quality perceived by the UEs at the location.

In one aspect, at 602, macro coverage, at a FAP, can be monitored, forexample, by performing a network listen procedure (e.g., scanning RFenvironment). In one example, signal parameters such as, but not limitedto, signal strength of a transmission from a macro base station(s), canbe detected and interference issues (if any) can be detected. Further,at 602, the number of attachment attempts made by UE(s) to connect tothe FAP can be tracked, for example, over a specified period of time.Additionally or optionally, the number of unique devices attempting toattach to the FAP can be identified, for example, based on an IMSInumber of the device. Further, the number of whitelisted, blacklisted,and/or visitor UEs, attempting to camp on the FAP, can also bedetermined. At 606, monitored and tracked data can be reported (e.g., toan ACP component 110). The number of attachment attempts provides agauge for estimating a number of subscribers that will benefit, if macrocoverage is improved at the location of the FAP.

FIG. 7 illustrates an example method 700 that can utilize femtomeasurements as a trigger and a performance feedback mechanism forautomated macro network adjustments in accordance with an aspect of thesubject specification. At 702, measurement and attachment data can bereceived from FAPs, for example, that can be neighboring, surrounding,or within a predefined distance from one or more macro sites. As anexample, the measurement data can be indicative of the signal strengthsof available macro carriers at the respective FAP locations. Themeasurement data can be indicative of areas with weak coverage orinterference (e.g., multiple servers overlapping at the location).Further, the attachment data can include a total number of attachmentattempts, a number of attachment attempts made by whitelisted UEs, anumber of attachment attempts made by blacklisted UEs, and/or a numberof attachment attempts made by visitor UEs, to connect with a FAP. At704, the received data can be aggregated/consolidated and analyzed. Inone aspect, the analysis can include weighing the FAPs based on theattachment data. As an example, a FAP reporting a higher number ofattachment attempts can be assigned a higher weight than a FAP reportinga lower number of attachment attempts.

Based on the analysis, at 706, one or more macro networkcoverage/interference issues, for example, poor network coverage and/orinterference can be identified. Further, at 708, one or more parametervalues can be determined to resolve the issues. Moreover, at 710, theone or more parameter values can be transmitted to a macro access point,which in turn can implement the update (e.g., tune an antenna array).Once the update has been implemented, at 712, a network listen procedurecan be triggered at the FAPs. Moreover, at 714, new measurement data canbe received and at 716, the new measurement data can be analyzed. At718, it can be determined whether the macro network coverage and/orinterference issues have been resolved. If the issues have not beenresolved, the method 700 returns to 708 and new parameter values aredetermined. Alternatively, if the issues are resolved, at 720, it can bedetermined whether new issues (e.g., hot spots, dead zones,interferences) are created as a result of implementing the update. Ifnew issues are created, the method 700 can return to 708 to determinenew parameters. Else, if no new issues have been created, the method 700can end.

FIG. 8 illustrates a schematic wireless environment 800 (e.g., anetwork) in which a femtocell can exploit various aspects of the subjectspecification in accordance with the disclosed subject matter. Inwireless environment 800, area 805 can represent coverage macro cell,which can be served by base station 810. Macro coverage is generallyintended for outdoors locations for servicing mobile wireless devices,like UE 820 _(A), and such coverage is achieved via a wireless link 815.In an aspect, UE 820 can be a 3GPP Universal Mobile TelecommunicationSystem (UMTS) mobile phone.

Within macro coverage cell 805, a femtocell 845, served by a femtoaccess point 830, can be deployed. A femtocell can cover an area 825that is determined, at least in part, by transmission power allocated toFAP 830, path loss, shadowing, and so forth. Coverage area can bespanned by a coverage radius that ranges from 20 to 50 meters, althoughmany other ranges are available without departing from exampleembodiments. Confined coverage area 845 can be associated with anindoors area, or a building, which can span, for example, about 465 sq.meters. Generally, FAP 830 can service a number (e.g., a few or more)wireless devices (e.g., subscriber station 820 _(B)) within confinedcoverage area 845. In an aspect, FAP 830 can integrate seamlessly withsubstantially any PS-based and CS-based network; for instance, FAP 830can integrate into an existing 3GPP Core via conventional interfaceslike Iu-CS, Iu-PS, Gi, Gn. In another aspect, FAP 830 can exploithigh-speed downlink packet access in order to accomplish substantivebitrates. In yet another aspect, FAP 830 has a LAC (location area code)and RAC (routing area code) that can be different from the underlyingmacro network. These LAC and RAC can be used to identify subscriberstation location for a variety of reasons, for example to directincoming voice and data traffic to appropriate paging transmitters.

As a subscriber station, e.g., UE 820 _(A), can leave macro coverage(e.g., cell 805) and enters femtocell coverage (e.g., area 825), asillustrated in environment 800. A carrier frequency scan can betriggered by the UE 820 _(A), which can detect the FAP 830. UE 820 _(A)can attempt to attach to the FAP 830 through transmission and receptionof attachment signaling, effected via a FL/RL 835; in an aspect, theattachment signaling can include a Location Area Update (LAU) and/orRouting Area Update (RAU). Attachment attempts are a part of proceduresto ensure mobility, so voice calls and sessions can continue even aftera macro-to-femto transition or vice versa. It is to be noted that UE 820can be employed seamlessly after either of the foregoing transitions.Femto networks are also designed to serve stationary or slow-movingtraffic with reduced signaling loads compared to macro networks. A femtoservice provider (e.g., an entity that commercializes, deploys, and/orutilizes FAP 830) therefore can be inclined to minimize unnecessaryLAU/RAU signaling activity at substantially any opportunity to do so,and through substantially any available means. It is to be noted thatsubstantially any mitigation of unnecessary attachment signaling/controlcan be advantageous for femtocell operation. Conversely, if notsuccessful, UE 820 generally can be commanded (through a variety ofcommunication means) to select another LAC/RAC or enter “emergency callsonly” mode. It is to be appreciated that this attempt and handlingprocess can occupy significant UE battery, and FAP capacity andsignaling resources as well.

When an attachment attempt is successful, UE 820 can be allowed onfemtocell 825 and incoming voice and data traffic can be paged androuted to the subscriber station through the FAP 830. It is to be notedalso that data traffic can be routed through a backhaul broadband wirednetwork backbone 840 (e.g., optical fiber backbone, twisted-pair line,T1/E1 phone line, DSL, or coaxial cable). It is to be noted that as aFAP 830 generally can rely on a backhaul network backbone 840 forrouting and paging, and for packet communication, substantially anyquality of service can handle heterogeneous packetized traffic. Namely,packet flows established for wireless communication devices (e.g.,terminals 820 _(A) and 820 _(B)) served by FAP 830, and for devicesserved through the backhaul network pipe 840. It is to be noted that toensure a positive subscriber experience, or perception, it can bedesirable in an example embodiment for FAP 830 to maintain a high levelof throughput for traffic (e.g., voice and data) utilized on a mobiledevice for one or more subscribers while in the presence of external,additional packetized, or broadband, traffic associated withapplications (e.g., web browsing, data transfer (e.g., content upload),and the like) executed in devices within the femtocell coverage area(e.g., area 825 or area 845).

To provide further context for various aspects of the subjectspecification, FIGS. 9 and 10 illustrate, respectively, an examplewireless communication environment 900, with associated components foroperation of a femtocell, and a block diagram of an example embodiment1000 of a femto access point, which can facilitate detection of an areawith weak macro network coverage and verification of improvement at thearea, by utilizing femto measurements in accordance with aspectsdescribed herein.

Wireless communication environment 900 includes two wireless networkplatforms: (i) A macro network platform 910 that serves, or facilitatescommunication) with user equipment 975 via a macro radio access network(RAN) 970. It should be appreciated that in cellular wirelesstechnologies (e.g., 3GPP UMTS, HSPA, 3GPP LTE, 3GPP UMB, 4G LTE, etc.),macro network platform 910 is embodied in a Core Network; and (ii) Afemto network platform 980, which can provide communication with UE 975through a femto RAN 990 linked to the femto network platform 980 viabackhaul pipe(s) 985, wherein backhaul pipe(s) are substantially thesame a backhaul link 840. It should be appreciated that femto networkplatform 980 can offload UE 975 from macro network, once UE 975 attaches(e.g., through macro-to-femto handover, or via a scan of channelresources in an idle mode) to femto RAN.

It is noted that RAN includes base station(s), or access point(s), andits associated electronic circuitry and deployment site(s), in additionto a wireless radio link operated in accordance with the basestation(s). Accordingly, macro RAN 970 can comprise various coveragecells like cell 805, while femto RAN 990 can comprise multiple femtocellaccess points. As mentioned above, it is to be appreciated thatdeployment density in femto RAN 990 is substantially higher than inmacro RAN 970.

Both macro and femto network platforms 910 and 980 can includecomponents, e.g., nodes, gateways, interfaces, servers, or platforms,that facilitate both packet-switched (PS) and circuit-switched (CS)traffic (e.g., voice and data) and control generation for networkedwireless communication. For example, macro network platform 910 includesCS gateway node(s) 912 which can interface CS traffic received fromlegacy networks like telephony network(s) 940 (e.g., public switchedtelephone network (PSTN), or public land mobile network (PLMN)) or a SS7network 960. Moreover, CS gateway node(s) 912 interfaces CS-basedtraffic and signaling and gateway node(s) 918.

In addition to receiving and processing CS-switched traffic andsignaling, gateway node(s) 918 can authorize and authenticate PS-baseddata sessions with served (e.g., through macro RAN) wireless devices.Data sessions can include traffic exchange with networks external to themacro network platform 910, like wide area network(s) (WANs) 950; itshould be appreciated that local area network(s) (LANs) can also beinterfaced with macro network platform 910 through gateway node(s) 918.Gateway node(s) 918 generates packet data contexts when a data sessionis established. It should be further appreciated that the packetizedcommunication can include multiple flows that can be generated throughserver(s) 914. Macro network platform 910 also includes serving node(s)916 that conveys the various packetized flows of information, or datastreams, received through gateway node(s) 918. It is to be noted thatserver(s) 914 can include one or more processors configured to confer atleast in part the functionality of macro network platform 910. To thatend, one or more processors can execute code instructions stored inmemory 930 or other computer-readable medium, for example.

In example wireless environment 900, memory 930 can store informationrelated to operation of macro network platform 910. Information caninclude business data associated with subscribers; market plans andstrategies, e.g., promotional campaigns, business partnerships;operational data for mobile devices served through macro networkplatform; service and privacy policies; end-user service logs for lawenforcement; and so forth. Memory 930 can also store information from atleast one of telephony network(s) 940, WAN(s) 950, or SS7 network 960.Many different types of information can be stored in memory 930 withoutdeparting from example embodiments.

Femto gateway node(s) 984 can have substantially the same functionalityas PS gateway node(s) 918. Additionally, femto gateway node(s) 984 canalso include substantially all functionality of serving node(s) 916. Inan aspect, femto gateway node(s) 984 can facilitate handover resolution,e.g., assessment and execution. Server(s) 982 have substantially thesame functionality as described in connection with server(s) 914 and caninclude one or more processors configured to confer at least in part thefunctionality of macro network platform 910. Moreover, the ACP component110 can be implemented or executed by server(s) 982 and/or server(s)914. To that end, the one or more processor can execute codeinstructions stored in memory 986, for example.

Memory 986 can include information relevant to operation of the variouscomponents of femto network platform 980. For example operationalinformation that can be stored in memory 986 can comprise, but is notlimited to, subscriber information; contracted services; maintenance andservice records; femtocell configuration (e.g., devices served throughfemto RAN 990; access control lists, or white lists); service policiesand specifications; privacy policies; add-on features; femto measurementdata, and so forth.

With respect to FIG. 10, in example embodiment 1000, femtocell AP 1010can receive and transmit signal(s) (e.g., traffic and control signals)from and to wireless devices, access terminals, wireless ports androuters, etc., through a set of antennas 1069 ₁-1069 _(N). It should beappreciated that while antennas 1069 ₁-1069 _(N) are a part ofcommunication platform 1025, which comprises electronic components andassociated circuitry that provides for processing and manipulating ofreceived signal(s) (e.g., a packet flow) and signal(s) (e.g., abroadcast control channel) to be transmitted. In an aspect,communication platform 1025 can include a transmitter/receiver (e.g., atransceiver) 1066 that can convert signal(s) from analog format todigital format (e.g., analog-to-digital conversion) upon reception, andfrom digital format to analog (e.g., digital-to-analog conversion)format upon transmission. In addition, receiver/transmitter 1066 candivide a single data stream into multiple, parallel data streams, orperform the reciprocal operation. Coupled to transceiver 1066 is amultiplexer/demultiplexer 1067 that facilitates manipulation of signalin time and/or frequency space. Electronic component 1067 can multiplexinformation (data/traffic and control/signaling) according to variousmultiplexing schemes such as time division multiplexing (TDM), frequencydivision multiplexing (FDM), orthogonal frequency division multiplexing(OFDM), code division multiplexing (CDM), space division multiplexing(SDM), etc. In addition, mux/demux component 1067 can scramble andspread information (e.g., codes) according to substantially any codeknown in the art; e.g., Hadamard-Walsh codes, Baker codes, Kasami codes,polyphase codes, and so on. A modulator/demodulator 1068 is also a partof operational group 1025, and can modulate information according tomultiple modulation techniques, such as frequency modulation, amplitudemodulation (e.g., M-ary quadrature amplitude modulation (QAM), with M apositive integer), phase-shift keying (PSK), and the like.

FAP 1010 also includes a processor 1045 configured to conferfunctionality, at least partially, to substantially any electroniccomponent in the femto access point 1010, in accordance with aspects ofthe subject disclosure. In particular, processor 1045 can facilitate FAP1010 to implement configuration instructions received throughcommunication platform 1025, which can include storing data in memory1055. In addition, processor 1045 facilitates FAP 1010 to process data(e.g., symbols, bits, or chips, etc.) for multiplexing/demultiplexing,such as effecting direct and inverse fast Fourier transforms, selectionof modulation rates, selection of data packet formats, inter-packettimes, etc. Moreover, processor 1045 can manipulate antennas 1069 ₁-1069_(N) to facilitate beamforming or selective radiation pattern formation,which can benefit specific locations (e.g., basement, home office . . .) covered by FAP; and exploit substantially any other advantagesassociated with smart-antenna technology. Memory 1055 can store datastructures, code instructions, system or device information like deviceidentification codes (e.g., IMEI, MSISDN, serial number . . . ) andspecification such as multimode capabilities; code sequences forscrambling; spreading and pilot transmission, floor plan configuration,access point deployment and frequency plans; and so on. Moreover, memory1055 can store configuration information such as schedules and policies;FAP address(es) or geographical indicator(s); access lists (e.g., whitelists); license(s) for utilization of add-features for FAP 1010, and soforth. In one example, data store 206 can be implemented in memory 1055.

In embodiment 1000, processor 1045 can be coupled to the memory 1055 inorder to store and retrieve information necessary to operate and/orconfer functionality to communication platform 1025, broadband networkinterface 1035 (e.g., a broadband modem), and other operationalcomponents (e.g., multimode chipset(s), power supply sources . . . ; notshown) that support femto access point 1010. The FAP 1010 can furtherinclude an attachment detection component 202 and measurement component212, which can include functionality, as more fully described herein,for example, with regard to systems 200. In addition, it is to be notedthat the various aspects disclosed in the subject specification can alsobe implemented through (i) program modules stored in a computer-readablestorage medium or memory (e.g., memory 986 or memory 1055) and executedby a processor (e.g., processor 1045), or (ii) other combination(s) ofhardware and software, or hardware and firmware.

Referring now to FIG. 11, there is illustrated a block diagram of acomputer operable to execute the disclosed communication architecture.In order to provide additional context for various aspects of thesubject specification, FIG. 11 and the following discussion are intendedto provide a brief, general description of a suitable computingenvironment 1100 in which the various aspects of the specification canbe implemented. While the specification has been described above in thegeneral context of computer-executable instructions that can run on oneor more computers, those skilled in the art will recognize that thespecification also can be implemented in combination with other programmodules and/or as a combination of hardware and software.

Generally, program modules include routines, programs, components, datastructures, etc., that perform particular tasks or implement particularabstract data types. Moreover, those skilled in the art will appreciatethat the disclosed methods can be practiced with other computer systemconfigurations, including single-processor or multiprocessor computersystems, minicomputers, mainframe computers, as well as personalcomputers, hand-held computing devices, microprocessor-based orprogrammable consumer electronics, and the like, each of which can beoperatively coupled to one or more associated devices.

The illustrated aspects of the specification can also be practiced indistributed computing environments, including cloud-computingenvironments, where certain tasks are performed by remote processingdevices that are linked through a communications network. In adistributed computing environment, program modules can be located inboth local and remote memory storage devices.

Computing devices can include a variety of media, which can includecomputer-readable storage media and/or communications media, which twoterms are used herein differently from one another as follows.Computer-readable storage media can be any available storage media thatcan be accessed by the computer and includes both volatile andnonvolatile media, removable and non-removable media. By way of example,and not limitation, computer-readable storage media can be implementedin connection with any method or technology for storage of informationsuch as computer-readable instructions, program modules, structureddata, or unstructured data. Computer-readable storage media can include,but are not limited to, RAM, ROM, EEPROM, flash memory or other memorytechnology, CD-ROM, digital versatile disk (DVD) or other optical diskstorage, magnetic cassettes, magnetic tape, magnetic disk storage orother magnetic storage devices, or other tangible and/or non-transitorymedia which can be used to store desired information. Computer-readablestorage media can be accessed by one or more local or remote computingdevices, e.g., via access requests, queries or other data retrievalprotocols, for a variety of operations with respect to the informationstored by the medium.

Communications media typically include (and/or facilitate thetransmission of) computer-readable instructions, data structures,program modules or other structured or unstructured data in a datasignal such as a modulated data signal, e.g., a carrier wave or othertransport mechanism, and includes any information delivery or transportmedia. The term “modulated data signal” or signals refers to a signalthat has one or more of its characteristics set or changed in such amanner as to encode information in one or more signals. By way ofexample, and not limitation, communications media include wired media,such as a wired network or direct-wired connection, and wireless mediasuch as acoustic, RF, infrared and other wireless media.

With reference again to FIG. 11, the example environment 1100 forimplementing various aspects of the specification includes a computer1102, the computer 1102 including a processing unit 1104, a systemmemory 1106 and a system bus 1108. The system bus 1108 couples systemcomponents including, but not limited to, the system memory 1106 to theprocessing unit 1104. The processing unit 1104 can be any of variouscommercially available processors. Dual microprocessors and othermulti-processor architectures can also be employed as the processingunit 1104.

The system bus 1108 can be any of several types of bus structure thatcan further interconnect to a memory bus (with or without a memorycontroller), a peripheral bus, and a local bus using any of a variety ofcommercially available bus architectures. The system memory 1106includes read-only memory (ROM) 1110 and random access memory (RAM)1112. A basic input/output system (BIOS) is stored in a non-volatilememory 1110 such as ROM, EPROM, EEPROM, which BIOS contains the basicroutines that help to transfer information between elements within thecomputer 1102, such as during startup. The RAM 1112 can also include ahigh-speed RAM such as static RAM for caching data.

The computer 1102 further includes an internal hard disk drive (HDD)1114 (e.g., EIDE, SATA), which internal hard disk drive 1114 can also beconfigured for external use in a suitable chassis (not shown), amagnetic floppy disk drive (FDD) 1116, (e.g., to read from or write to aremovable diskette 1118) and an optical disk drive 1120, (e.g., readinga CD-ROM disk 1122 or, to read from or write to other high capacityoptical media such as the DVD). The hard disk drive 1114, magnetic diskdrive 1116 and optical disk drive 1120 can be connected to the systembus 1108 by a hard disk drive interface 1124, a magnetic disk driveinterface 1126 and an optical drive interface 1128, respectively. Theinterface 1124 for external drive implementations includes at least oneor both of Universal Serial Bus (USB) and IEEE 1394 interfacetechnologies. Other external drive connection technologies are withincontemplation of the subject specification.

The drives and their associated computer-readable storage media providenonvolatile storage of data, data structures, computer-executableinstructions, and so forth. For the computer 1102, the drives andstorage media accommodate the storage of any data in a suitable digitalformat. Although the description of computer-readable storage mediaabove refers to a HDD, a removable magnetic diskette, and a removableoptical media such as a CD or DVD, it should be appreciated by thoseskilled in the art that other types of storage media which are readableby a computer, such as zip drives, magnetic cassettes, flash memorycards, cartridges, and the like, can also be used in the exampleoperating environment, and further, that any such storage media cancontain computer-executable instructions for performing the methods ofthe specification.

A number of program modules can be stored in the drives and RAM 1112,including an operating system 1130, one or more application programs1132, other program modules 1134 and program data 1136. All or portionsof the operating system, applications, modules, and/or data can also becached in the RAM 1112. It is appreciated that the specification can beimplemented with various commercially available operating systems orcombinations of operating systems.

A user can enter commands and information into the computer 1102 throughone or more wired/wireless input devices, e.g., a keyboard 1138 and apointing device, such as a mouse 1140. Other input devices (not shown)can include a microphone, an IR remote control, a joystick, a game pad,a stylus pen, touch screen, or the like. These and other input devicesare often connected to the processing unit 1104 through an input deviceinterface 1142 that is coupled to the system bus 1108, but can beconnected by other interfaces, such as a parallel port, an IEEE 1394serial port, a game port, a USB port, an IR interface, etc.

A monitor 1144 or other type of display device is also connected to thesystem bus 1108 via an interface, such as a video adapter 1146. Inaddition to the monitor 1144, a computer typically includes otherperipheral output devices (not shown), such as speakers, printers, etc.

The computer 1102 can operate in a networked environment using logicalconnections via wired and/or wireless communications to one or moreremote computers, such as a remote computer(s) 1148. The remotecomputer(s) 1148 can be a workstation, a server computer, a router, apersonal computer, portable computer, microprocessor-based entertainmentappliance, a peer device or other common network node, and typicallyincludes many or all of the elements described relative to the computer1102, although, for purposes of brevity, only a memory/storage device1150 is illustrated. The logical connections depicted includewired/wireless connectivity to a local area network (LAN) 1152 and/orlarger networks, e.g., a wide area network (WAN) 1154. Such LAN and WANnetworking environments are commonplace in offices and companies, andfacilitate enterprise-wide computer networks, such as intranets, all ofwhich can connect to a global communications network, e.g., theInternet.

When used in a LAN networking environment, the computer 1102 isconnected to the local network 1152 through a wired and/or wirelesscommunication network interface or adapter 1156. The adapter 1156 canfacilitate wired or wireless communication to the LAN 1152, which canalso include a wireless access point disposed thereon for communicatingwith the wireless adapter 1156.

When used in a WAN networking environment, the computer 1102 can includea modem 1158, or is connected to a communications server on the WAN1154, or has other means for establishing communications over the WAN1154, such as by way of the Internet. The modem 1158, which can beinternal or external and a wired or wireless device, is connected to thesystem bus 1108 via the serial port interface 1142. In a networkedenvironment, program modules depicted relative to the computer 1102, orportions thereof, can be stored in the remote memory/storage device1150. It will be appreciated that the network connections shown areexample and other means of establishing a communications link betweenthe computers can be used.

The computer 1102 is operable to communicate with any wireless devicesor entities operatively disposed in wireless communication, e.g., aprinter, scanner, desktop and/or portable computer, portable dataassistant, communications satellite, any piece of equipment or locationassociated with a wirelessly detectable tag (e.g., a kiosk, news stand,restroom), and telephone. In an example embodiment, wirelesscommunications can be facilitated, for example, using Wi-Fi, Bluetooth™,Zigbee, and other 802.XX wireless technologies. Thus, the communicationcan be a predefined structure as with a conventional network or simplyan ad hoc communication between at least two devices.

Wi-Fi, or Wireless Fidelity, allows connection to the Internet from acouch at home, a bed in a hotel room, or a conference room at work,without wires. Wi-Fi is a wireless technology similar to that used in acell phone that enables such devices, e.g., computers, to send andreceive data indoors and out; anywhere within the range of a basestation. Wi-Fi networks use radio technologies called IEEE 802.11 (a, b,g, n, etc.) to provide secure, reliable, fast wireless connectivity. AWi-Fi network can be used to connect computers to each other, to theInternet, and to wired networks (which use IEEE 802.3 or Ethernet).Wi-Fi networks can operate in the unlicensed 2.4 and 5 GHz radio bands,at an 11 Mbps (802.11a), 54 Mbps (802.11b), or 150 Mbps (802.11n) datarate, for example, or with products that contain both bands (dual band),so the networks can provide real-world performance similar to wiredEthernet networks used in many homes and/or offices.

As it employed in the subject specification, the term “processor” canrefer to substantially any computing processing unit or devicecomprising, but not limited to comprising, single-core processors;single-processors with software multithread execution capability;multi-core processors; multi-core processors with software multithreadexecution capability; multi-core processors with hardware multithreadtechnology; parallel platforms; and parallel platforms with distributedshared memory. Additionally, a processor can refer to an integratedcircuit, an application specific integrated circuit (ASIC), a digitalsignal processor (DSP), a field programmable gate array (FPGA), aprogrammable logic controller (PLC), a complex programmable logic device(CPLD), a discrete gate or transistor logic, discrete hardwarecomponents, or any combination thereof designed to perform the functionsdescribed herein. Processors can exploit nano-scale architectures suchas, but not limited to, molecular and quantum-dot based transistors,switches and gates, in order to optimize space usage or enhanceperformance of user equipment. A processor may also be implemented as acombination of computing processing units.

In the subject specification, terms such as “data store,” data storage,”“database,” and substantially any other information storage componentrelevant to operation and functionality of a component, refer to “memorycomponents,” or entities embodied in a “memory” or components comprisingthe memory. It will be appreciated that the memory components, orcomputer-readable storage media, described herein can be either volatilememory(s) or nonvolatile memory(s), or can include both volatile andnonvolatile memory(s).

By way of illustration, and not limitation, nonvolatile memory(s) caninclude read only memory (ROM), programmable ROM (PROM), electricallyprogrammable ROM (EPROM), electrically erasable ROM (EEPROM), or flashmemory. Volatile memory(s) can include random access memory (RAM), whichacts as external cache memory. By way of illustration and notlimitation, RAM is available in many forms such as synchronous RAM(SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rateSDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), anddirect Rambus RAM (DRRAM). Additionally, the disclosed memory componentsof systems or methods herein are intended to comprise, without beinglimited to comprising, these and any other suitable types of memory.

As used in this application, the terms “component,” “module,” “system,”“interface,” “platform,” “service,” “framework,” “connector,”“controller,” or the like are generally intended to refer to acomputer-related entity, either hardware, a combination of hardware andsoftware, software, or software in execution or an entity related to anoperational machine with one or more specific functionalities. Forexample, a component may be, but is not limited to being, a processrunning on a processor, a processor, an object, an executable, a threadof execution, a program, and/or a computer. By way of illustration, bothan application running on a controller and the controller can be acomponent. One or more components may reside within a process and/orthread of execution and a component may be localized on one computerand/or distributed between two or more computers. As another example, aninterface can include I/O components as well as associated processor,application, and/or API components.

Further, the various embodiments can be implemented as a method,apparatus, or article of manufacture using standard programming and/orengineering techniques to produce software, firmware, hardware, or anycombination thereof to control a computer to implement one or moreaspects of the disclosed subject matter. An article of manufacture canencompass a computer program accessible from any computer-readabledevice or computer-readable storage/communications media. For example,computer readable storage media can include but are not limited tomagnetic storage devices (e.g., hard disk, floppy disk, magnetic strips. . . ), optical disks (e.g., compact disk (CD), digital versatile disk(DVD) . . . ), smart cards, and flash memory devices (e.g., card, stick,key drive . . . ). Of course, those skilled in the art will recognizemany modifications can be made to this configuration without departingfrom the scope or spirit of the various embodiments.

What has been described above includes examples of the presentspecification. It is, of course, not possible to describe everyconceivable combination of components or methods for purposes ofdescribing the present specification, but one of ordinary skill in theart may recognize that many further combinations and permutations of thepresent specification are possible. Accordingly, the presentspecification is intended to embrace all such alterations, modificationsand variations that fall within the spirit and scope of the appendedclaims. Furthermore, to the extent that the term “includes” is used ineither the detailed description or the claims, such term is intended tobe inclusive in a manner similar to the term “comprising” as“comprising” is interpreted when employed as a transitional word in aclaim.

What is claimed is:
 1. A system, comprising: a processor; and a memorythat stores executable instructions that, when executed by theprocessor, facilitate performance of operations, comprising: in responseto a characteristic of a coverage area of network devices of a macronetwork being determined to satisfy a threshold relating to acommunication condition based on measurement data received from a femtoaccess point device, transmitting, to a macro access point device of thenetwork devices serving the coverage area, an instruction thatfacilitates tuning of an antenna associated with the macro access pointdevice; and in response to the tuning of the antenna being determined tohave occurred, determining, based on an updated evaluation of updatedmeasurement data received from the femto access point device, that analteration of a coverage of the coverage area of the network devices ofthe macro network has occurred.
 2. The system of claim 1, wherein theoperations further comprise: evaluating the measurement data receivedfrom the femto access point device to facilitate determining thecharacteristic of the coverage area of the network devices of the macronetwork.
 3. The system of claim 1, wherein the operations furthercomprise: determining a number of attachment attempts by devices toconnect to the femto access point device over a defined time period tofacilitate the tuning of the antenna.
 4. The system of claim 1, whereinthe operations further comprise: initiating performance of measurementsrelating to a parameter with respect to femto access point devices,comprising the femto access point device, to facilitate the receiving ofthe measurement data, in response to a determination that thecommunication condition satisfies the threshold.
 5. The system of claim1, wherein the operations further comprise: evaluating the alteration ofthe coverage of the coverage area of the network devices of the macronetwork, as a result of performance of the instruction, to determinewhether the characteristic of the coverage area of the network devicesof the macro network is altered to a target level.
 6. The system ofclaim 5, wherein the instruction is a first instruction, and wherein theoperations further comprise: in response to determining thecharacteristic of the coverage area of the network devices of the macronetwork has not been altered to the target level, transmitting, to themacro access point device of the network devices serving the coveragearea, a second instruction that facilitates the tuning of the antennaassociated with the macro access point device.
 7. The system of claim 5,wherein the characteristic is a first characteristic, wherein thethreshold is a first threshold, and wherein the operations furthercomprise: in response to determining that the first characteristic ofthe coverage area of the network devices of the macro network has beenaltered to the target level, evaluating the updated measurement datareceived from the femto access point device to determine whether asecond characteristic of the coverage area of the network devices of themacro network satisfies a second threshold.
 8. The system of claim 1,wherein the operations further comprise: determining that thecharacteristic of the coverage area of the network devices of the macronetwork satisfies a request condition, and wherein the request conditiondefines an area as not satisfying a demand for network services based onan evaluation of access requests to the femto access point device. 9.The system of claim 8, wherein the operations further comprise: based onthe evaluation of the access requests to the femto access point device,determining the instruction that facilitates the tuning of the antennaassociated with the macro access point device.
 10. The system of claim9, wherein the determining the instruction that facilitates the tuningof the antenna associated with the macro access point device comprises:determining weights associated with the access requests to the femtoaccess point device, wherein the weights define respective prioritiesassociated with the femto access point device; and based on the weights,performing the determining the instruction that facilitates the tuningof the antenna associated with the macro access point device.
 11. Amethod, comprising: in response to an attribute of a macro networkcoverage of macro network devices being determined, based on datareceived from an access point device, to satisfy a threshold valuerelating to a communication condition, directing, by a system comprisinga processor, a transmission of an instruction to modify a communicationparameter associated with a macro access point device of the macronetwork devices, wherein the data is associated with the attribute ofthe macro network coverage of the macro network devices; and in responseto modifying the communication parameter of the macro network coverage,monitoring, by the system, an alteration related to the attribute of themacro network coverage based on updated data associated with an updateto the data.
 12. The method of claim 11, further comprising: in responseto the modifying the communication parameter associated with the macroaccess point device, initiating, by the system, reception of the updateddata indicative of a result of the modifying the communicationparameter.
 13. The method of claim 11, further comprising: based on thedata received from the access point device, determining, by the system,whether the attribute of the macro network coverage of the macro networkdevices satisfies the threshold value, wherein the threshold valuedefines a weak signal strength associated with the macro access pointdevice.
 14. The method of claim 11, further comprising: based on theattribute of the macro network coverage, selecting, by the system, themacro access point device.
 15. The method of claim 11, furthercomprising: based on the attribute of the macro network coverage,determining, by the system, the instruction to modify the communicationparameter associated with the macro access point device to achieve atarget level associated with the attribute.
 16. The method of claim 15,wherein the determining the instruction to modify the communicationparameter associated with the macro access point device to achieve thetarget level associated with the attribute further comprises determiningthe instruction based on an evaluation of access requests to the accesspoint device.
 17. The method of claim 16, wherein the access pointdevice is a first access point device, and wherein the determining theinstruction based on the evaluation of the access requests to the accesspoint device further comprises comparing the evaluation of the accessrequests to the first access point device with disparate access requeststo a second access point device.
 18. The method of claim 11, wherein thedirecting the transmission of the instruction to modify thecommunication parameter further comprises directing the transmission ofthe instruction to the macro access point device to facilitate modifyinga beam width associated with an antenna of the macro access pointdevice.
 19. A machine-readable storage medium, comprising executableinstructions that, when executed by a processor, facilitate performanceof operations, comprising: directing an instruction to be transmitted toa macro access point device of a macro network to implement amodification to a transmission parameter, associated with the macroaccess point device, in response to determining the modification to thetransmission parameter based on an analysis of data received from afemto access point device; and subsequent to the initiating thetransmission of the instruction to implement the modification,determining, based on feedback data received from the femto access pointdevice, an alteration in a coverage of macro network devices of themacro network resulting from the modification.
 20. The machine-readablestorage medium of claim 19, wherein the operations further comprise:subsequent to the directing the instruction, determining, based onupdated data indicative of a result of the modification and receivedfrom the femto access point device, whether a characteristic of thecoverage area of the macro network devices has satisfied a targetperformance criterion.